Methodological considerations in screening for cumulative environmental health impacts: lessons learned from a pilot study in California.
Methodological considerations in screening for cumulative environmental health impacts: lessons learned from a pilot study in California.
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DOI：
10.3390/ijerph9093069
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发表时间：
2012-08-24
影响因子：
--
通讯作者：
Alexeeff GV
中科院分区：
文献类型：
--
作者：
Meehan August L;Faust JB;Cushing L;Zeise L;Alexeeff GV
污染设施和危险场所往往集中在低收入的有色人种社区，他们的健康已经面临额外的压力。传统的风险评估模型没有考虑社会经济地位的影响。我们描述了一个筛选方法，考虑污染负担和人口特征，在评估潜在的累积影响的试点研究。目标是确定值得进一步关注的社区，从而为决策者和政策制定者提供实现环境正义的可操作指导。该方法使用与五个组成部分相关的指标，以制定相对累积影响评分，用于比较社区：暴露、公共卫生影响、环境影响、敏感人群和社会经济因素。在这里，我们描述了几个方法上的考虑，结合不同的数据源和报告的敏感性分析的结果，旨在指导未来的改进，累积影响评估。我们讨论了选择适当指标的标准，它们之间的相关性，并考虑数据质量和模型结构选择的影响。我们的结论是，该模型的结果在很大程度上是强大的模型结构的变化。
Polluting facilities and hazardous sites are often concentrated in low-income communities of color already facing additional stressors to their health. The influence of socioeconomic status is not considered in traditional models of risk assessment. We describe a pilot study of a screening method that considers both pollution burden and population characteristics in assessing the potential for cumulative impacts. The goal is to identify communities that warrant further attention and to thereby provide actionable guidance to decision- and policy-makers in achieving environmental justice. The method uses indicators related to five components to develop a relative cumulative impact score for use in comparing communities: exposures, public health effects, environmental effects, sensitive populations and socioeconomic factors. Here, we describe several methodological considerations in combining disparate data sources and report on the results of sensitivity analyses meant to guide future improvements in cumulative impact assessments. We discuss criteria for the selection of appropriate indicators, correlations between them, and consider data quality and the influence of choices regarding model structure. We conclude that the results of this model are largely robust to changes in model structure.
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DOI：
10.3390/ijerph9020648
发表时间：
2012-02-01
影响因子：
--
作者：
Alexeeff, George V.;Faust, John B.;Denton, Joan
通讯作者：
Denton, Joan
影响因子：
9.7
作者：
Morello-Frosch, Rachel;Zuk, Miriam;Kyle, Amy D.
通讯作者：
Kyle, Amy D.
影响因子：
6.3
作者：
Meng, Ying-Ying;Rull, Rudolph P.;Ritz, Beate
通讯作者：
Ritz, Beate
累积风险评估：评估从暴露到多种环境压力源的健康效果的方法学方法的概述。
DOI：
10.3390/ijerph9020370
发表时间：
2012-02
影响因子：
--
作者：
Sexton K
通讯作者：
Sexton K
影响因子：
10.4
作者：
Srám RJ;Binková B;Dejmek J;Bobak M
通讯作者：
Bobak M